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*                			For Vision Open Statistical Models											*
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* Copyright (C):	2006~2011 by JIA Pei, all rights reserved.											*
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*					1) P. JIA, 2D Statistical Models, Technical Report of Vision Open Working Group,	*
*					2st Edition, October 21, 2010. 														*
*					http://www.visionopen.com/members/jiapei/publications/pei_sm2dreport2010.pdf		*
* 					2) P. JIA. Audio-visual based HMI for an Intelligent Wheelchair. PhD thesis,		*
* 					University of Essex, February, 2011.												*
* 					http://www.visionopen.com/members/jiapei/publications/pei_phdthesis2010.pdf			*
*					3) T. Cootes and C. Taylor. Statistical models of appearance for computer vision.	*
*					Technical report, Imaging Science and Biomedical Engineering, University of 		*
*					Manchester, March 8, 2004.															*
*					http://www.isbe.man.ac.uk/~bim/Models/app_models.pdf								*
*					4) I. Matthews and S. Baker. Active appearance models revisited. International 		*
*					Journal of Computer Vision, 60(2):135–164, November 2004.							*
*					http://www.ri.cmu.edu/pub_files/pub4/matthews_iain_2004_2/matthews_iain_2004_2.pdf	*
*					5) M. B. Stegmann, Active Appearance Models: Theory, Extensions and Cases,			*
*					http://www2.imm.dtu.dk/~aam/main/, 2000												*
* 																										*
* Version:          0.3.2                                                     							*
* Author:           JIA Pei                                                 							*
* Contact:          jp4work@gmail.com                                       							*
* URL:              http://www.visionopen.com                               							*
* Create Date:      2010-11-04                                             								*
* Revise Date:      2010-08-04                                             								*
********************************************************************************************************/


#ifndef __VO_FittingAFM__
#define __VO_FittingAFM__

#include <vector>
#include "opencv/cv.h"
#include "opencv/highgui.h"

#include "..\cvcommon\VO_CVCommon.h"
#include "..\smbuilding\VO_AFM.h"
#include "VO_Fitting2DSM.h"


using namespace std;
using namespace cv;


/** 
 * @author		JIA Pei
 * @brief		AFM fitting algorithm.
 * @note		FIXME
  */
class VO_FittingAFM : public VO_Fitting2DSM
{
private:
	void                        	init();

public:
    VO_AFM*                			m_VOAFM;

    /** Constructor */
    VO_FittingAFM();

    /** Destructor */
    ~VO_FittingAFM();
	
	/** Load AFM fitting training results */
    void                        	VO_LoadParameters4Fitting(const string& fd);

	/** Start AFM fitting, for static images, recording all iterations of every single image */
	float                        	VO_AFMFitting(const Mat& iImg, vector<Mat>& oImages, unsigned int afmType = VO_AXM::AFM, unsigned int epoch = EPOCH, bool record = false);
	
	/** Start AFM fitting, for dynamic image sequence */
    float                        	VO_AFMFitting(const Mat& iImg, VO_Shape& ioShape, Mat& oImg, unsigned int afmType = VO_AXM::AFM, unsigned int epoch = EPOCH);

};

#endif

